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Vision Reach Global
Banking, Accounting and Financial Management

Live Online Risk Management for AML / CFT & Financial Crime Analytics Training Course

Live online, instructor-led · next cohort Nov 2, 2026 · from USD 800

Criminal networks move money through banks, mobile money platforms, remittance firms and trade finance faster than rule-based controls can follow. Institutions that rely on static thresholds either drown in false alerts or miss the layering patterns that matter. Over five days you learn to build a risk-based approach that directs scarce compliance resources to where exposure is highest. Sessions cover enterprise-wide risk assessment, customer and product risk scoring, FATF recommendations, sanctions screening, and the governance of three lines of defence.

Upcoming live online sessions

Live Online

Nov 2 – 6, 2026

$800

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Live Online

Nov 30 – Dec 4, 2026

$800

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Live Online

Dec 28, 2026 – Jan 1, 2027

$800

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Live Online

Jan 25 – 29, 2027

$800

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At a Glance

How Live Online Training Works

Live online training, led by a trainer in real time, for participants anywhere.

More about live online training →
Format
Live online, instructor-led
Duration
Mon - Fri (5 Days)
Fee
USD 800 (KES 80,000)
Next start dates
Nov 2, 2026, Nov 30, 2026, Dec 28, 2026
Certificate
Certificate of Completion
What you need
A computer with a reliable internet connection, a webcam and a headset

About this course

Financial crime is a board-level exposure. Regulators across Africa and beyond now examine whether institutions understand their own money laundering and terrorist financing risks, not merely whether a policy exists on the shelf. Weak controls bring penalties, correspondent banking restrictions and reputational damage, while poorly tuned monitoring wastes the time of skilled investigators.

This programme starts with how risk is identified and rated at enterprise level, then moves to customer due diligence, politically exposed persons, beneficial ownership and sanctions. From there it turns to the data side of the work: designing monitoring scenarios, understanding model limitations, using statistical profiling and network analysis, and judging when machine learning adds value. Participants work through typologies in banking, mobile money, trade-based laundering and virtual assets, and finish with investigation, reporting and board-level risk communication.

Teaching relies on anonymised case data, guided exercises in spreadsheets and basic scripting-free analytics tools, and group review of realistic alerts. Each participant leaves with a risk assessment template, a monitoring tuning checklist and a plan to apply the learning in their own institution.

Training Objectives

By the end of the course, participants will be able to:

  • Design an enterprise-wide AML/CFT risk assessment covering customers, products, channels and geographies.
  • Apply risk-based customer due diligence, including enhanced measures for higher-risk relationships.
  • Evaluate transaction monitoring scenarios and tune thresholds to reduce false positives without losing coverage.
  • Use data profiling, segmentation and network analysis to surface suspicious behaviour.
  • Assess alert and model performance using measures such as precision, recall and alert-to-case conversion.
  • Investigate alerts and prepare clear, evidence-based suspicious transaction reports.
  • Report risk exposure and control effectiveness to senior management and the board.

What you'll learn

Design an enterprise-wide AML/CFT risk assessment covering customers, products, channels and geographies.
Apply risk-based customer due diligence, including enhanced measures for higher-risk relationships.
Evaluate transaction monitoring scenarios and tune thresholds to reduce false positives without losing coverage.
Use data profiling, segmentation and network analysis to surface suspicious behaviour.
Assess alert and model performance using measures such as precision, recall and alert-to-case conversion.
Investigate alerts and prepare clear, evidence-based suspicious transaction reports.
Report risk exposure and control effectiveness to senior management and the board.

Key Takeaways

Participants leave the programme with:

  • A structured enterprise risk assessment template ready for adaptation to their institution.
  • A customer risk-scoring model outline with weighted factors and rating bands.
  • A tuning checklist for transaction monitoring scenarios and alert quality metrics.
  • A worked suspicious transaction report drafted from a case file.
  • A board-ready summary format that presents residual risk and control gaps plainly.

Training Methodology

Learning focuses on the judgement calls that compliance and analytics teams make daily:

  • Instructor-led briefings linked to current supervisory expectations
  • Anonymised transaction files and alert samples used in guided analytics labs
  • Small-group case reviews where teams argue for escalation or closure
  • Role-play of a supervisory examination meeting
  • Individual drafting of a risk assessment extract and a suspicious transaction report
FAQ

Frequently Asked Questions About Live Online Risk Management for AML / CFT & Financial Crime Analytics Training Course

Everything you need to know about this course before you register.

By the end of the Risk Management for AML / CFT & Financial Crime Analytics programme, you'll be able to design an enterprise-wide aml/cft risk assessment covering customers, products, channels and geographies, apply risk-based customer due diligence, including enhanced measures for higher-risk relationships, evaluate transaction monitoring scenarios and tune thresholds to reduce false positives without losing coverage, and use data profiling, segmentation and network analysis to surface suspicious behaviour. The full breakdown of topics is covered session by session in the Course Outline tab above.

Still have questions about Live Online Risk Management for AML / CFT & Financial Crime Analytics Training Course? Chat with an advisor·Visit the full FAQ

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VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.

Levis Wabwire

Levis Wabwire

Managing Director

They facilitated our strategy review, we improved departmental KPI alignment by 35% and reduced operational bottlenecks significantly.

David Oketch

David Oketch

Strategy Lead

Employee engagement scores increased following the leadership training program. The difference in accountability culture is evident.

Wendy Albright

Wendy Albright

Program Manager

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